Title: The Diagnostic Value of High-Frequency Power-based Diffusion-Weighted Imaging in Prediction of Neuroepithelial Tumour Grading
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| Authors: Chen, ZY; Zhou, P; Lv, B; Liu, MQ; Wang, Y; Wang, YL; Lou, X; Gui, QP; He, HG; Ma, L
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| Author Full Names: Chen, Zhiye; Zhou, Peng; Lv, Bin; Liu, Mengqi; Wang, Yan; Wang, Yulin; Lou, Xin; Gui, Qiuping; He, Huiguang; Ma, Lin
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| Source: EUROPEAN RADIOLOGY, 27 (12):5056-5063; 10.1007/s00330-017-4899-4 DEC 2017
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| Language: English
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| Abstract: To retrospectively evaluate the diagnostic value of high-frequency power (HFP) compared with the minimum apparent diffusion coefficient (MinADC) in the prediction of neuroepithelial tumour grading. Diffusion-weighted imaging (DWI) data were acquired on 115 patients by a 3.0-T MRI system, which included b0 images and b1000 images over the whole brain in each patient. The HFP values and MinADC values were calculated by an in-house script written on the MATLAB platform. There was a significant difference among each group excluding grade I (G1) vs. grade II (G2) (P = 0.309) for HFP and among each group for MinADC. ROC analysis showed a higher discriminative accuracy between low-grade glioma (LGG) and high-grade glioma (HGG) for HFP with area under the curve (AUC) value 1 compared with that for MinADC with AUC 0.83 +/- 0.04 and also demonstrated a higher discriminative ability among the G1-grade IV (G4) group for HFP compared with that for MinADC except G1 vs. G2. HFP could provide a simple and effective optimal tool for the prediction of neuroepithelial tumour grading based on diffusion-weighted images in routine clinical practice. aEuro cent HFP shows positive correlation with neuroepithelial tumour grading. aEuro cent HFP presents a good diagnostic efficacy for LGG and HGG. aEuro cent HFP is helpful in the selection of brain tumour boundary.
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| ISSN: 0938-7994
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| eISSN: 1432-1084
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| IDS Number: FM0QD
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| Unique ID: WOS:000414671000019
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